Buy Chapter & Clip Boundary.
Turn long-form audio into editable chapter and transcript-grounded 15–60s clip decisions.
Drop-In Integration Stage
OpenAPI 3.1 & Gateway Compatibleimport httpx
response = httpx.post(
"https://api.youstostore.com/v1/jobs",
headers={
"X-API-Key": "sk_live_your_key",
"Idempotency-Key": "episode-42-chapters"
},
json={
"media_url": "https://cdn.example.com/episodes/ep42.mp3",
"language": "en",
"min_clip_seconds": 15,
"max_clip_seconds": 60
}
)
result = response.json() # HTTP 202
print(result["job_id"]) # poll GET /v1/jobs/{job_id}
print(result["status"]) # "queued"Developer Tier
Growth Tier
RECOMMENDEDEnterprise Tier
Turn long-form audio into editable chapter and clip decisions
Chapter & Clip Boundary API accepts an authorized media URL and returns speaker-labelled chapter ranges plus transcript-grounded clip suggestions. Every clip includes start and end timestamps, a reason for the boundary, and supporting transcript text, giving editors and product workflows something concrete to review.
Engineering Pain & Fragility
Podcast and video products often assemble a fragile chain of media downloaders, codec tools, transcription services, diarization outputs, boundary rules, queues, and cleanup jobs. Even when transcription works, turning a long recording into practical edit decisions creates another layer of logic:
- Chapters need coherent start and end times with useful titles.
- Short clips need complete thoughts rather than abrupt cuts.
- Speaker changes and silence can improve boundaries, but no single signal is sufficient.
- Editors need the transcript evidence behind a suggestion.
- Customer media introduces consent, copyright, retention, signed-URL, and sandboxing requirements.
- Long-running jobs need durable IDs, safe retries, metering, and stable failures.
Chapter & Clip Boundary API defines that workflow as one asynchronous create/read job with bounded inputs and reviewable outputs.
What the API Solves
Submit a customer-authorized HTTPS audio URL, English language setting, and desired clip-length bounds. The service is designed to combine speech transcription and diarization with sentence, speaker, silence, and semantic boundary rules. It returns the media duration, anonymous speaker labels, chapter ranges and titles, and suggested clips with reasons and transcript excerpts.
Clip preferences are strictly bounded from 15 to 60 seconds, and the minimum cannot exceed the maximum. This keeps the API focused on short repurposing candidates while preserving customer control over the final editorial decision.
The current release is a bounded MVP adapter. A contracted transcription and diarization provider must be connected and validated before accepting customer media. The built-in no-provider path is placeholder behavior for integration testing, not customer-ready media analysis.
How it works. Step by step.
Provide authorized media.
Supply a public, customer-signed HTTPS media URL. The URL must not resolve to a private network target.
Set clip constraints.
Choose `min_clip_seconds` and `max_clip_seconds` between 15 and 60 seconds, with English as the MVP language.
Create the job.
Call `POST /v1/jobs` with a required `Idempotency-Key`.
Receive the job reference.
The API returns HTTP `202`, a `job_id`, `status: queued`, and estimated media minutes.
Read the analysis.
Poll `GET /v1/jobs/{job_id}` until the job succeeds or fails.
Review and export.
Use chapters and clips as an edit decision list, timeline input, or editor queue—not as automatically final creative output.
Built for enterprise production standards.
Asynchronous create/read media workflow.
Transcript-grounded chapter and clip boundaries.
Chapter timestamps with concise titles.
Clip timestamps with a human-readable reason and supporting transcript.
Anonymous speaker labels from the configured diarization path.
Customer-controlled clip bounds from 15 to 60 seconds.
Required idempotency for create retries.
Tenant-scoped API-key authentication.
Public URL validation for media and optional webhook targets.
Minute-based usage metering design.
Structured domain errors for unreachable media, excessive duration, unsupported codecs, transcription failure, and processing timeouts.
Ideal use cases & engineering workflows.
Podcast platforms
Offer chapter drafts and reviewable short-clip candidates without building a second media-analysis stack alongside hosting and distribution.
Video and audio editing products
Place suggested ranges on an editor timeline, then let a person adjust boundaries, framing, captions, and final output.
Content operations teams
Turn interviews, webinars, and recorded conversations into an edit queue with timestamps, reasons, and transcript evidence.
Media workflow developers
Export transcript-grounded edit decision lists into internal tools, asset systems, or downstream renderers.
Agencies and production teams
Reduce the first-pass work of locating chapter transitions and self-contained excerpts while keeping editorial judgment with the team.
Why buy instead of building internally?
The endpoint count hides the operational surface. A production pipeline needs safe media retrieval, codec handling, sandboxed processing, storage, queues, speech-to-text and diarization integrations, timeout behavior, minute accounting, deletion jobs, and a stable schema across provider changes. Boundary logic then has to reconcile sentences, speakers, silence, timing constraints, and editorial usefulness.
Buying a bounded API can replace that integration layer with a clear job contract and reviewable output. Your team remains responsible for the final creative experience, while the service handles the path from permitted media URL to structured chapter and clip candidates.
The buy decision should still be evidence-based. This release requires a contracted transcription/diarization provider and design-partner validation before customer media. Evaluate transcript accuracy, speaker separation, codec coverage, latency, regional requirements, and boundary usefulness on media you are authorized to test.
Security, privacy and operational integrity.
Customer routes use `X-API-Key`. The production design specifies high-entropy keys, SHA-256 digests at rest, server-side tenant resolution, scope checks, and tenant-isolated job reads. Required idempotency keys are scoped by tenant and route, retained for 24 hours, and reject changed-payload reuse with `409 conflict`.
Media and webhook URLs are checked against localhost and resolved non-global addresses to reduce SSRF risk. The production architecture calls for a safe media downloader, sandboxed `ffmpeg`, object storage and queues, and a contracted speech-to-text and diarization provider. Abuse planning includes malicious codec inputs, false-duration or oversized media, copyright abuse, and signed-URL leakage.
The specified service envelope is 30 creates per minute per tenant, five concurrent jobs, and a four-hour or 2 GiB media cap, with plan-minute quota checked before enqueue. Stable failures cover unreachable media, media that is too long, unsupported codecs, transcription provider failure, processing timeout, authentication, validation, rate limiting, and dependency availability.
The production data policy specifies encrypted source media deletion within 24 hours, transcript and result retention for seven days, and job/cost ledger retention for 30 days. It also specifies no model training on customer media. These are deployment requirements, not claims of certification. Regional processing applies only where explicitly offered and contracted.
Architectural Scope & Production Boundaries
Questions & answers for engineering leads.
No. It returns timestamps, reasons, and transcript evidence for candidate clips. Rendering, reframing, caption styling, and media export remain downstream responsibilities.
Deploy Chapter & Clip Boundary in minutes.
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